D-LGP: Dynamic Logic-Geometric Program for Reactive Task and Motion Planning
December 05, 2023 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Teng Xue, Amirreza Razmjoo, Sylvain Calinon
arXiv ID
2312.02731
Category
cs.RO: Robotics
Citations
8
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
Abstract
Many real-world sequential manipulation tasks involve a combination of discrete symbolic search and continuous motion planning, collectively known as combined task and motion planning (TAMP). However, prevailing methods often struggle with the computational burden and intricate combinatorial challenges, limiting their applications for online replanning in the real world. To address this, we propose Dynamic Logic-Geometric Program (D-LGP), a novel approach integrating Dynamic Tree Search and global optimization for efficient hybrid planning. Through empirical evaluation on three benchmarks, we demonstrate the efficacy of our approach, showcasing superior performance in comparison to state-of-the-art techniques. We validate our approach through simulation and demonstrate its reactive capability to cope with online uncertainty and external disturbances in the real world. Project webpage: https://sites.google.com/view/dyn-lgp.
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